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artificial intelligenceNVDAQQQSPYvaluation
Open a keyword to see other news on the same topic.
Related tickers and likely impact
NVDA
▼ Likely negativeNvidia
Relevance: medium
| Market | US stocks |
|---|---|
| Sector | Information Technology |
| Industry | Semiconductors |
| Market cap | $5.1T |
| Close on 10/23/2026 | 210.96 |
| Change that session | -0.59% |
QQQ
▼ Likely negativeInvesco QQQ Trust
Relevance: medium
| Market | US stocks |
|---|---|
| Sector | ETF |
| Close on 10/23/2026 | 704.40 |
| Change that session | -0.01% |
SPY
▼ Likely negativeSPDR S&P 500 ETF
Relevance: low
| Market | US stocks |
|---|---|
| Sector | ETF |
| Close on 10/23/2026 | 759.97 |
| Change that session | -0.52% |
Impact is scored by AI from the headline and may be wrong. It is not investment advice.
Related news
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The bull market is entering its fifth year, with the S&P 500 up nearly 120% over four years on the AI boom, but gains are narrow and over a quarter of index stocks are down 40% or more from their highs. Investors Michael Burry and Ray Dalio warn of an AI bubble, and the CAPE ratio above 40 is its second-highest level ever; the only earlier readings above 32, in 1929 and during the dot-com bubble, were followed by major corrections. The article argues that selling to wait is usually a mistake, citing Hartford Funds data that 76% of the best market days occur in bear markets or the first two months of bull markets, and Peter Lynch's view that staying invested matters more than timing. Lynch's example: investing $2,000 every year in the S&P 500 from 1965 to 1995 returned 11% annually, versus 10.6% when buying at each year's peak. It recommends steady dollar-cost averaging into an index ETF such as the Vanguard S&P 500 ETF (VOO) rather than trying to time a crash.
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The Nasdaq Composite fell 2.6% on Oct. 22 to close at 26,008.86, its largest drop since a 4.2% decline on June 5. A correction, a fall of at least 10% from the highs, would require a further 4.1% drop to below 24,950, which would mark the third correction this year. Corrections have been occurring more frequently, but recoveries have generally been quick, with the 2022 to early 2024 slump the main exception. The article attributes the choppier market to fast-spreading information, easy trading, and concentration in AI-linked mega-cap stocks that make up much of the S&P 500. It says holding quality companies, index funds, or ETFs is the simplest way to endure corrections, and suggests reviewing whether large positions are highly correlated.
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Long-term bond yields have risen since mid-last month, when the 10-year US Treasury yield passed 5%, and rate-sensitive AI stocks have fallen sharply. Neocloud firms that borrowed heavily to buy Nvidia chips and rent them out are most exposed: Firmus's IPO collapsed last week, and CoreWeave shares fell 28% in one week. According to FactSet, CoreWeave has about $35 billion of debt and is expected to spend $80 billion over the next three and a half years. Gartner forecasts that 80% of neocloud firms will cease independent operations by 2030, citing a huge gap between capital spending and AI returns. Concerns about AI demand have also grown, as OpenAI's annualized revenue was $20 billion less than it had initially indicated.
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Ray Dalio says an AI stock bubble could pop as interest rates rise further, and that point is approaching but not imminent. He warned that companies are taking on growing debt to fund AI initiatives, even top tech firms with strong free cash flow, at a time when the Fed has raised rates for the first time in three years. Dalio also said investors selling stocks to raise cash and lock in gains could add pressure, while rising bond yields make bonds more attractive. The article notes the State Street Technology Select Sector SPDR ETF (XLK) is up 36% year to date and about 160% over five years, versus about 80% for the S&P 500, with Nvidia, Apple and Microsoft making up close to 40% of its portfolio.
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